A Capacity-Based Approach for Designing Bit-Interleaved Coded GFSK with Noncoherent Detection

Abstract

This paper investigates a capacity-based approach to parameter optimization for energy and bandwidth efficient communication systems. In particular, non-coherently detected, bit-interleaved coded, M-ary Gaussian frequency shift keying (GFSK) is considered. Non-coherent detection is accomplished using a sequential, soft-output (SO), soft-decision differential phase detector (SDDPD). The capacity of the proposed system under modulation, channel and detector design constraints is calculated. For a wide range of spectral efficiencies, the most energy efficient combination of GFSK parameters and code rates is identified using information theoretic bounds on reliable signaling. The information outage probabilities under modulation and detector design constraints are calculated for the block fading channel. Select results reveal that the capacity-based approach also helps in identifying the combination of modulation parameters and code rates with the lowest outage probabilities in block fading